Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Rule-base optimization is very important for improving the translation quality of a transfer-based MT system. In this study, a new metric for rule evaluation is proposed and the strategy of adding rules incrementally in the process of optimization is applied to decrease the effect of crossing-constraints. Experimental results show that the assessment score of open corpus improves by 3.699% under 5-gram Nist metric when the new optimization method is used. And the optimization performance is better than other methods.
How to cite this article:
Zhang Chunxiang , Li Sheng and Zhao Tiejun . Optimization of MT System Based on Automatic Translation Evaluation.
DOI: https://doi.org/10.36478/ajit.2005.644.648
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.644.648